Note: The job is a remote job and is open to candidates in USA. Airbnb is a global platform that connects hosts and guests, focusing on trust and safety. The Senior Data Scientist will tackle significant data science challenges, driving initiatives that enhance the safety and personalization of the Airbnb experience through rigorous statistical analysis and machine learning.
Responsibilities
- Design and implement measurement and evaluation frameworks to understand the impact of Trust defense, and uncover opportunities for improvement
- Collaborating closely with cross-functional partners, lead the design and analysis of experiments and quasi-experiments in environments where standard A/B testing is challenging
- Build and iterate on statistical and Bayesian models that quantify risk, estimate treatment effects, and surface measurement gaps; provide causal interpretation of signals surfaced by ML systems
- Generate deep insights on the effectiveness of Trust defenses and translate them into clear strategic recommendations for product roadmap and policy decisions
- Deliver robust, leadership-ready research with rigorous analysis, compelling data visualizations, and clear narratives; effectively communicate complex methodological tradeoffs to both technical and non-technical audiences across product, engineering, policy and operations
- Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes
Skills
- 5+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or 2+ years of experience with PhD in relevant fields
- Deep expertise in experimentation and causal inference
- Strong knowledge of Bayesian modeling and its application to measurement, uncertainty quantification, and decision-making
- Proven ability to design and lead experimentation programs in complex environments, collaborating with and influencing cross-functional stakeholders
- Skilled in statistical programming and database usage. Strong coding skills in SQL and python or R
- Demonstrated ability to translate complex methodological findings into actionable insights and compelling narratives for audiences of varying technical levels
- Excellent judgment in navigating ambiguity, scoping problems, and driving impact through influence across cross-functional teams
Benefits
- Eligible for bonus
- Eligible for equity
- Benefits
- Employee Travel Credits
Company Overview
Company H1B Sponsorship